Progress in evolutionary computation : AI'93 and AI'94 Workshops on Evolutionary Computation, Melbourne, Victoria, Australia, November 16, 1993, Armidale, NSW, Australia, November 21-22, 1994 : selected papers
著者
書誌事項
Progress in evolutionary computation : AI'93 and AI'94 Workshops on Evolutionary Computation, Melbourne, Victoria, Australia, November 16, 1993, Armidale, NSW, Australia, November 21-22, 1994 : selected papers
(Lecture notes in computer science, 956 . Lecture notes in artificial intelligence)
Springer, c1995
大学図書館所蔵 全51件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
This volume contains the best carefully revised full papers selected from the presentations accepted for the AI '93 and AI '94 Workshop on Evolutionary Computation held in Australia.
The 21 papers included cover a wide range of topics in the field of evolutionary computation, from constrained function optimization to combinatorial optimization, from evolutionary programming to genetic programming, from robotic strategy learning to co-evolutionary game strategy learning. The papers reflect important recent progress in the field; more than half of the papers come from overseas.
目次
The effect of function noise on GP efficiency.- Genetic approaches to learning recursive relations.- An application of Genetic Programming to the 4-Op problem using map-trees.- Direct replacement: A Genetic Algorithm without mutation which avoids deception.- Competitive evolution: A natural approach to operator selection.- Emergent collective computational abilities in interacting particle systems.- A perspective on evolutionary computation.- An experimental study of N-Person Iterated Prisoner's Dilemma games.- A systolic architecture for high speed hypergraph partitioning using a genetic algorithm.- Development of hybrid optimisation techniques based on genetic algorithms and simulated annealing.- Development of parallel hybrid optimisation techniques based on genetic algorithms and simulated annealing.- Genetic algorithms for cutting stock problems: With and without contiguity.- GASBOR: A genetic algorithm for switchbox routing in integrated circuits.- The calculus of self-modifiable algorithm based evolutionary computer network routing.- Evolving robot strategy for open ended game.- An evolutionary approach to adaptive model-building.- Training neural networks with influence diagrams.- A behavioural theory of intelligent machines as a framework for the analysis of adaptation.- On evolving robust strategies for iterated prisoner's dilemma.- Comparison of heuristic search algorithms for single machine scheduling problems.- Encoding graphs for genetic algorithms: An investigation using the minimum spanning tree problem.
「Nielsen BookData」 より